Triple
T1453464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fen Line |
E31344
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Greater Anglia |
E30534
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Greater Anglia | Statement: [Fen Line, operator, Greater Anglia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greater Anglia Context triple: [Fen Line, operator, Greater Anglia]
-
A.
Greater Anglia
chosen
Greater Anglia is a British train operating company that provides passenger rail services across East Anglia and parts of London and the East of England.
-
B.
Thameslink
Thameslink is a major British rail network providing cross-London services that connect destinations across the South East of England.
-
C.
Virgin Trains
Virgin Trains was a British train operating company under Richard Branson’s Virgin Group brand that ran long-distance passenger rail services in the UK.
-
D.
Luton DART
Luton DART is an automated light rail people mover system that links Luton Airport with nearby transport connections, providing fast, driverless transit for passengers.
-
E.
City Thameslink
City Thameslink is a central London railway station on the Thameslink route, serving commuter and regional services through the City of London.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a499171a28819085b993a3ac78e363 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c57e82d48190a30a4512f39f5de0 |
completed | March 1, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58b0be2c8190993a5b4592acf7d2 |
completed | March 8, 2026, 11:08 a.m. |
Created at: March 1, 2026, 8 p.m.